A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images

Nearly 3.5 billion humans have oral health issues, including dental caries, which requires dentist-patient exposure in oral examinations. The automated approaches identify and locate carious regions from dental images by localizing and processing either colored photographs or X-ray images taken via...

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Detalles Bibliográficos
Autores principales: Rashid, Umer, Javid, Aiman, Khan, Abdur Rehman, Liu, Leo, Ahmed, Adeel, Khalid, Osman, Saleem, Khalid, Meraj, Shaista, Iqbal, Uzair, Nawaz, Raheel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044255/
https://www.ncbi.nlm.nih.gov/pubmed/35494840
http://dx.doi.org/10.7717/peerj-cs.888

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044255/
https://www.ncbi.nlm.nih.gov/pubmed/35494840
http://dx.doi.org/10.7717/peerj-cs.888

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